updates
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@ -768,21 +768,21 @@ def plot_results(start=0, stop=0): # from utils.utils import *; plot_results()
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def plot_results_overlay(start=0, stop=0): # from utils.utils import *; plot_results_overlay()
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# Plot training results files 'results*.txt', overlaying train and val losses
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fig, ax = plt.subplots(1, 5, figsize=(14, 3.5))
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ax = ax.ravel()
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s = ['train', 'train', 'train', 'Precision', 'mAP', 'val', 'val', 'val', 'Recall', 'F1'] # legends
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t = ['GIoU', 'Confidence', 'Classification', 'P-R', 'mAP-F1'] # titles
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for f in sorted(glob.glob('results*.txt') + glob.glob('../../Downloads/results*.txt')):
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results = np.loadtxt(f, usecols=[2, 4, 5, 9, 11, 13, 14, 15, 10, 12]).T
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results = np.loadtxt(f, usecols=[2, 4, 5, 9, 11, 13, 14, 15, 10, 12]).T
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n = results.shape[1] # number of rows
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x = range(start, min(stop, n) if stop else n)
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fig, ax = plt.subplots(1, 5, figsize=(14, 3.5))
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ax = ax.ravel()
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for i in range(5):
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ax[i].plot(x, results[i, x], marker='.', label=s[i])
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ax[i].plot(x, results[i+5, x], marker='.', label=s[i+5])
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ax[i].plot(x, results[i + 5, x], marker='.', label=s[i + 5])
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ax[i].set_title(t[i])
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ax[i].legend()
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fig.tight_layout()
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fig.savefig('results.png', dpi=200)
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fig.tight_layout()
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fig.savefig(f.replace('.txt', '.png'), dpi=200)
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def plot_results_orig(start=0, stop=0): # from utils.utils import *; plot_results_orig()
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